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Mirshahvalad SA, Seyedinia SS, Huemer F, Schweighofer-Zwink G, Koch O, Hitzl W, Weiss L, Emannuel K, Greil R, Pirich C, Beheshti M. Prognostic value of [ 18F]FDG PET/CT on treatment response and progression-free survival of gastroesophageal cancer patients undergoing perioperative FLOT chemotherapy. Eur J Radiol 2023; 163:110843. [PMID: 37119707 DOI: 10.1016/j.ejrad.2023.110843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 03/17/2023] [Accepted: 04/17/2023] [Indexed: 05/01/2023]
Abstract
PURPOSE To evaluate the prognostic role of [18F]FDG PET/CT metabolic parameters in gastric cancer (GC) and gastroesophageal adenocarcinoma (GEJAC) patients receiving neoadjuvant chemotherapy. METHOD In this retrospective study, 31 patients with biopsy-proven GC or GEJAC were included between August 2016 and March 2020. [18F]FDG PET/CT was performed before the neoadjuvant chemotherapy. Primary tumours' semi-quantitative metabolic parameters were extracted. All patients received a perioperative FLOT regimen thereafter. Post-chemotherapy [18F]FDG PET/CT was performed in most patients (17/31). All patients underwent surgical resection. Histopathology response to treatment and progression-free survival (PFS) were evaluated. Two-sided p-values < 0.05 were considered statistically significant. RESULTS Thirty-one patients (mean age = 62 ± 8), including 21 GC and 10 GEJAC patients, were evaluated. 20/31(65%) patients were histopathology responders to neoadjuvant chemotherapy, including twelve complete and eight partial responders. During the median follow-up of 42.0 months, nine patients experienced recurrence. The median PFS was 60(95% CI:32.9-87.1) months. Pre-neoadjuvant chemotherapy SULpeak was significantly correlated with pathological response to treatment (p-value = 0.03;odds ratio = 16.75). In survival analysis, SUVmax (p-value = 0.01;hazard ratio[HR] = 1.55), SUVmean (p-value = 0.04;HR = 2.73), SULpeak (p-value < 0.001;HR = 1.91) and SULmean (p-value = 0.04;HR = 4.22) in the post-neoadjuvant chemotherapy pre-operative [18F]FDG PET/CT showed significant correlation with PFS. Additionally, aspects of staging were significantly correlated with PFS (p-value = 0.01;HR = 2.21). CONCLUSIONS Pre-neoadjuvant chemotherapy [18F]FDG PET/CT parameters, especially SULpeak, could predict the pathological response to treatment in GC and GEJAC patients. Additionally, in survival analysis, post-chemotherapy metabolic parameters significantly correlated with PFS. Thus, performing [18F]FDG PET/CT before chemotherapy may help to identify patients at risk for inadequate response to perioperative FLOT and, after chemotherapy, may predict clinical outcomes.
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Affiliation(s)
- Seyed Ali Mirshahvalad
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria; Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, ON M5G 2C4, Canada
| | - Seyedeh Sara Seyedinia
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Florian Huemer
- Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology, and Rheumatology, Oncologic Center, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Gregor Schweighofer-Zwink
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Oliver Koch
- Department of Surgery, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Wolfgang Hitzl
- Biostatistics and Publication of Clinical Trial Studies, Research and Innovation Management (RIM), Paracelsus Medical University, 5020 Salzburg, Austria; Department of Ophthalmology and Optometry, Paracelsus Medical University Salzburg, 5020 Salzburg, Austria; Research Program Experimental Ophthalmology and Glaucoma Research, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Lukas Weiss
- Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology, and Rheumatology, Oncologic Center, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Klaus Emannuel
- Department of Surgery, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Richard Greil
- Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology, and Rheumatology, Oncologic Center, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Christian Pirich
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Mohsen Beheshti
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.
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2
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Obermannova R, Selingerova I, Rehak Z, Jedlicka V, Slavik M, Fabian P, Novotny I, Zemanova M, Studentova H, Grell P, Zdrazilova Dubska L, Demlova R, Harustiak T, Hejnova R, Kiss I, Vyzula R. PET/CT-tailored treatment of locally advanced oesophago-gastric junction adenocarcinoma: a report on the feasibility of the multicenter GastroPET study. Ther Adv Med Oncol 2022; 13:17588359211065153. [PMID: 35035533 PMCID: PMC8753528 DOI: 10.1177/17588359211065153] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 11/15/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Perioperative chemotherapy is a recommended treatment approach for localised oesophago-gastric junction adenocarcinoma, but not all patients respond to neoadjuvant chemotherapy. Early identification of non-responders and treatment adaptation in the preoperative period could improve outcomes. GastroPET is a national, multicentre phase II trial evaluating a 18FDG-PET/CT-guided preoperative treatment strategy with the R0 resection rate as a primary endpoint. Here, we report on the accuracy of the methodology, the feasibility of the study design and patient safety data after enrolment of the first 63 patients. METHODS Patients with locally advanced oesophago-gastric junction adenocarcinoma (Siewert I - III) stage Ib-IIIc underwent baseline 18FDG-PET/CT scanning and re-evaluation after 14 days of oxaliplatinum-5FU-(docetaxel) chemotherapy. Responders were defined by a ⩾ 35% decrease in tumour FDG standardised uptake value (SUV)average from baseline. Responders continued with the same chemotherapy for 2 to 3 months prior to surgery. PET-non-responders switched to preoperative chemoradiotherapy [weekly carboplatin and paclitaxel with concurrent radiotherapy (45 Gy in 25 fractions)]. Here, we aim to confirm the feasibility of FDG-PET-based response assessment in a multicenter setting and to compare local versus central reading. In addition, we report on the feasibility of the study conduct and patient safety data. RESULTS A total of 64 patients received baseline and sequential 14-day 18FDG-PET/CT scanning. And, 63 were allocated to the respective treatment arm according to PET-response [35 (56%) responders and 28 (44%) non-responders]. The concordance of local versus central reading of SUV changes was 100%. Until the date of this analysis, 47 patients (28 responders and 19 non-responders) completed surgery. Postoperative complications of grade ⩾ 3 (Common Terminology Criteria for Adverse Events, CTCAE Version 5.0) were reported in five responders (18%; 95% CI: 7.9-36%) and two non-responders (11%; 95% CI: 2.9-31%), with no statistical difference (p = 0.685). One patient in each arm died after surgery, leading to a postoperative in-hospital mortality rate of 4.3% (2/47 patients; 95% CI: 1.2-14%). CONCLUSION Local and central FDG-SUV quantification and PET-response assessment showed high concordance. This confirms the accuracy of a PET-response-guided treatment algorithm for locally advanced oesophago-gastric junction cancer in a multicenter setting. Preoperative treatment adaptation revealed feasible and safe for patients.
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Affiliation(s)
- Radka Obermannova
- Department of Comprehensive Cancer Care,
Masaryk Memorial Cancer Institute, Zluty kopec 7, 656 53 Brno, Czech
Republic
- Department of Comprehensive Cancer Care,
Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Iveta Selingerova
- Research Centre for Applied Molecular Oncology,
Masaryk Memorial Cancer Institute, Brno, Czech Republic
- Department of Pharmacology, Faculty of
Medicine, Masaryk University, Brno, Czech Republic
| | - Zdenek Rehak
- Department of Nuclear Medicine, Masaryk
Memorial Cancer Institute, Brno, Czech Republic
| | - Vaclav Jedlicka
- Department of Surgery, Masaryk Memorial Cancer
Institute, Brno, Czech Republic
- Department of Surgery, Faculty of Medicine,
Masaryk University, Brno, Czech Republic
| | - Marek Slavik
- Department of Radiation Oncology, Masaryk
Memorial Cancer Institute, Brno, Czech Republic
| | - Pavel Fabian
- Department of Pathology, Masaryk Memorial
Cancer Institute, Brno, Czech Republic
| | - Ivo Novotny
- Department of Gastroenterology, Masaryk
Memorial Cancer Institute, Brno, Czech Republic
| | - Milada Zemanova
- Department of Oncology, First Faculty of
Medicine, Charles University and General University Hospital in Prague,
Prague, Czech Republic
| | - Hana Studentova
- Department of Oncology, University Hospital
Olomouc, Olomouc, Czech Republic
| | - Peter Grell
- Department of Comprehensive Cancer Care,
Masaryk Memorial Cancer Institute, Brno, Czech Republic
- Department of Comprehensive Cancer Care,
Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Lenka Zdrazilova Dubska
- Department of Laboratory Medicine – Clinical
Microbiology and Immunology, University Hospital Brno, Brno, Czech
Republic
| | - Regina Demlova
- Department of Pharmacology, Faculty of
Medicine, Masaryk University, Brno, Czech Republic
| | - Tomas Harustiak
- Third Department of Surgery, First Faculty of
Medicine, Charles University, Prague, Czech Republic
| | - Renata Hejnova
- Faculty of Medicine, Masaryk University, Brno,
Czech Republic
| | - Igor Kiss
- Department of Comprehensive Cancer Care,
Masaryk Memorial Cancer Institute, Brno, Czech Republic
- Department of Comprehensive Cancer Care,
Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Rostislav Vyzula
- Department of Comprehensive Cancer Care,
Masaryk Memorial Cancer Institute, Brno, Czech Republic
- Department of Comprehensive Cancer Care,
Faculty of Medicine, Masaryk University, Brno, Czech Republic
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Lee W, Oh M, Kim JS, Park Y, Kwon JW, Jun E, Song KB, Lee JH, Hwang DW, Yoo C, Kim KP, Jeong JH, Chang HM, Ryoo BY, Park SY, Kim SC. Metabolic activity by FDG-PET/CT after neoadjuvant chemotherapy in borderline resectable and locally advanced pancreatic cancer and association with survival. Br J Surg 2021; 109:61-70. [PMID: 34378010 DOI: 10.1093/bjs/znab229] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 04/11/2021] [Accepted: 05/19/2021] [Indexed: 11/14/2022]
Abstract
BACKGROUND The optimal prognostic markers for neoadjuvant chemotherapy in patients with borderline resectable or locally advanced pancreatic cancer are not yet established. METHOD Patients who received neoadjuvant chemotherapy prior to surgery and underwent FDG-PET/CT between July 2012 and December 2017 were included. Metabolic parameters including standardised uptake value (SUV), metabolic tumour volume (MTV), and total lesion glycolysis (TLG) on PET/CT, and response evaluations using PERCIST criteria, were investigated for its impact on survival and recurrence. Cox proportional hazards model was performed. Differences in risk were expressed as hazard ratio [HR] with 95% confidence interval [c.i.]. RESULTS The patients with borderline resectable (N = 106) or locally advanced pancreatic cancer (N = 82) were identified. The median survival was 33.6 months. Decreased metabolic parameters of PET/CT after neoadjuvant chemotherapy were associated with positive impacts on survival and recurrence such as SUVmax (HR 1.16, 95% c.i. 1.01 to 1.32, P = 0.025), SUVpeak (HR 1.26, 95% c.i. 1.05 to 1.51, P = 0.011), and MTV (HR 1.15, 95% c.i. 1.04 to 1.26, P = 0.005). Large delta values were related to a positive impact on recurrence such as SUVmax (HR 1.21, 95% c.i. 1.06 to 1.38, P = 0.005). Post-neoadjuvant chemotherapy SUVmax ≥3 (HR 3.46, 95% c.i. 1.21 to 9.91; P = 0.036) was an independent prognostic factor for negative impact on survival. Patients with post-neoadjuvant chemotherapy SUVmax <3 showed more chemotherapy cycles (8.7 versus 6.2, P = 0.001), more frequent complete metabolic response (25 vs 2.2%, P = 0.002), smaller tumour size (2.1 vs 3.1 cm, P = 0.002), and less frequent lymphovascular invasion (23.7 vs 51.1%, P = 0.020) than patients with SUVmax ≥3. CONCLUSION Reduction in metabolic tumour parameters of FDG- PET/CT after neoadjuvant chemotherapy indicates improved overall survival and recurrence-free survival.
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Affiliation(s)
- Woohyung Lee
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Minyoung Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jae Seung Kim
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Yejong Park
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Jae Woo Kwon
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Eunsung Jun
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Ki Byung Song
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Jae Hoon Lee
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Dae Wook Hwang
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Changhoon Yoo
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Kyu-Pyo Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Jae Ho Jeong
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Heung-Moon Chang
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Baek-Yeol Ryoo
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Seo Young Park
- Department of Clinical Epidemiology and Biostatistics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.,Department of Statistics and Data Science, Korea National Open University, Seoul, Republic of Korea
| | - Song Cheol Kim
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
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4
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Foley KG, Jeffries J, Hannon C, Coles B, Bradley KM, Smyth E. Response rate and diagnostic accuracy of early PET-CT during neo-adjuvant therapies in oesophageal adenocarcinoma: A systematic review and meta-analysis. Int J Clin Pract 2021; 75:e13906. [PMID: 33300222 DOI: 10.1111/ijcp.13906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 12/03/2020] [Indexed: 11/28/2022] Open
Abstract
PURPOSE Only 25% of oesophageal adenocarcinoma (OAC) patients have a pathological response to neo-adjuvant therapy (NAT) before oesophagectomy. Early response assessment using PET imaging may help guide management of these patients. We performed a systematic review and meta-analysis to synthesise the evidence detailing response rate and diagnostic accuracy of early PET-CT assessment. METHODS We systematically searched several databases including MEDLINE and Embase. Studies with mixed cohorts of histology, tumour location and a repeat PET-CT assessment after more than one cycle of NAT were excluded. Reference standard was pathological response defined by Becker or Mandard classifications. Primary outcome was metabolic response rate after one cycle of NAT defined by a reduction in maximum standardised uptake value (SUVmax) of 35%. Secondary outcome was diagnostic accuracy of treatment response prediction, defined as the sensitivity and specificity of early PET-CT using this threshold. Quality of evidence was also assessed. Random-effects meta-analysis pooled response rates and diagnostic accuracy. This study was registered with PROSPERO (CRD42019147034). RESULTS Overall, 1341 articles were screened, and 6 studies were eligible for analysis. These studies reported data for 518 patients (aged 27-78 years; 452 [87.3%] were men) between 2005 and 2020. Pooled sensitivity of early metabolic response to predict pathological response was 77.2% (95% CI 53.2%-100%). Significant heterogeneity existed between studies (I2 = 80.6% (95% CI 38.9%-93.8%), P = .006). Pooled specificity was 75.0% (95% CI 68.2%-82.5%), however, no significant heterogeneity between studies existed (I2 = 0.0% (95% CI 0.0%-67.4%), P = .73). CONCLUSION High-quality evidence is lacking, and few studies met the inclusion criteria of this systematic review. The sensitivity of PET using a SUVmax reduction threshold of 35% was suboptimal and varied widely. However, specificity was consistent across studies with a pooled value of 75.0%, suggesting early PET assessment is a better predictor of treatment resistance than of pathological response. Further research is required to define optimal PET-guided treatment decisions in OAC.
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Affiliation(s)
- Kieran G Foley
- Royal Glamorgan Hospital & Velindre Cancer Centre, Cardiff, UK
| | | | - Clare Hannon
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Kevin M Bradley
- Wales Diagnostic and Research Positron Emission Tomography Imaging Centre, Cardiff University, Cardiff, UK
| | - Elizabeth Smyth
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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5
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Kaida H, Kitajima K, Nakajo M, Ishibashi M, Matsunaga T, Minamimoto R, Hirata K, Nakatani K, Hung A, Hattori S, Yasuda T, Ishii K. Predicting tumor response and prognosis to neoadjuvant chemotherapy in esophageal squamous cell carcinoma patients using PERCIST: a multicenter study in Japan. Eur J Nucl Med Mol Imaging 2021; 48:3666-3682. [PMID: 33934168 DOI: 10.1007/s00259-021-05365-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 04/11/2021] [Indexed: 11/28/2022]
Abstract
PURPOSE To investigate the usefulness of the positron emission tomography response criteria in solid tumors 1.0 (PERCIST1.0) for predicting tumor response to neoadjuvant chemotherapy and prognosis and determine whether PERCIST improvements are necessary for esophageal squamous cell carcinoma (ESCC) patients. PATIENTS AND METHODS We analyzed the cases of 177 ESCC patients and examined the association between PERCIST and their pathological responses. Associations of whole-PERCIST with progression-free survival (PFS) and overall survival (OS) were evaluated by a Kaplan-Meier analysis and Cox proportional hazards model. To investigate potential PERCIST improvements, we used the survival tree technique to understand patients' prognoses. RESULTS There were significant correlations between the pathologic response and PERCIST of primary tumor (p < 0.001). The optimal cutoff value of the primary tumors' SULpeak response to classify pathologic responses was -50.0%. The diagnostic accuracy of SULpeak response was 87.3% sensitivity, 54.1% specificity, 68.9% accuracy, positive predictive value 60.5%, and negative predictive value 84.1%. Whole-PERCIST was significantly associated with PFS and OS. The survival tree results indicated that a high reduction of the whole SULpeak response was significantly correlated with the patients' prognoses. The cutoff values for the separation of prognoses were - 52.5 for PFS and - 47.1% for OS. CONCLUSION PERCIST1.0 can help predict tumor responses and prognoses. However, 18F-FDG-PET/CT tends to underestimate residual tumors in histopathological response evaluations. Modified PERCIST, in which the partial metabolic response is further classified by the SULpeak response (-50%), might be more appropriate than PERCIST1.0 for evaluating tumor responses and stratifying high-risk patients for recurrence and poor prognosis.
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Affiliation(s)
- Hayato Kaida
- Department of Radiology, Kindai University Faculty of Medicine, 377-2, Ohnohigashi, Osakasayama, Osaka, 589-8511, Japan.
| | - Kazuhiro Kitajima
- Department of Radiology, Division of Nuclear Medicine and PET Center, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan
| | - Masatoyo Nakajo
- Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-5-31, Sakuragaoka, Kagoshima, 890-8544, Japan
| | - Mana Ishibashi
- Division of Radiology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, 36-1, Nishi-cho, Yonago, Tottori, 683-8504, Japan
| | - Tomoyuki Matsunaga
- Division of Gastrointestinal and Pediatric Surgery, Department of Surgery, School of Medicine, Tottori University of Faculty of Medicine, 36-1, Nishi-cho, Yonago, Tottori, 683-8504, Japan
| | - Ryogo Minamimoto
- Division of Nuclear Medicine, Department of Radiology, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan
| | - Kenji Hirata
- Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Kita15, Nishi 7, Kita-Ku, Sapporo, Hokkaido, 060-8638, Japan
| | - Koya Nakatani
- Department of Diagnostic Radiology, Kurashiki Central Hospital, 1-1-1, Miwa, Kurashiki, Okayama, 710-8602, Japan
| | - Ao Hung
- Department of Biomedical Statistics, Osaka University Graduate School of Medicine, 2-2, Yamadagaoka, Suita, Osaka, 565-0871, Japan
| | - Satoshi Hattori
- Department of Biomedical Statistics, Osaka University Graduate School of Medicine, 2-2, Yamadagaoka, Suita, Osaka, 565-0871, Japan.,Institute for Open and Transdisciplinary Research Initiative, Osaka University, 2-2, Yamadagaoka, Suita, Osaka, 565-0871, Japan
| | - Takushi Yasuda
- Department of Surgery, Kindai University Faculty of Medicine, 377-2, Ohnohigashi, Osakasayama, Osaka, 589-8511, Japan
| | - Kazunari Ishii
- Department of Radiology, Kindai University Faculty of Medicine, 377-2, Ohnohigashi, Osakasayama, Osaka, 589-8511, Japan
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